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tencenttencent 搜索

Agent Skill

tencent 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

13,994

周安装

595

GitHub Stars

公开资料未说明

下载量

4,903
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tencent(tencent 搜索)
来源仓库:https://github.com/ivangdavila/tencent
安装命令:
openclaw skills install tencent
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install tencent

简介

通过区域感知规划和官方来源验证来引导腾讯产品、腾讯云服务和微信生态系统决策。

  • 适合企业选型、云服务部署和微信生态集成等场景。
  • 输入需求描述,获取相关产品推荐、地域配置建议和合规指引。
  • 需绑定腾讯云账号并配置 API 密钥,注意权限最小化和账单监控。
  • tencent 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
Tencent
slug
tencent
version
1.0.0
homepage
https://clawic.com/skills/tencent
description
Navigate Tencent products, Tencent Cloud services, and WeChat ecosystem decisions with region-aware planning and official-source verification.
changelog
Initial release with ecosystem routing, region-aware guidance, official-source verification, and safer Tencent planning workflows.
metadata
{"clawdbot":{"emoji":"T","requires":{"bins":[],"config":["~/tencent/"]},"os":["linux","darwin","win32"],"configPaths":["~/tencent/"]}}

When to Use

User needs help choosing, comparing, implementing, or de-risking something in the Tencent ecosystem. Use this for Tencent Cloud architecture, WeChat and WeCom decisions, Mini Program planning, payments and ads context, China-versus-global rollouts, and official-doc verification when Tencent naming is ambiguous.

Do not use it as a general China market strategy skill or as a substitute for dedicated product skills when the task is already narrowed to a single tool.

Architecture

Memory lives in ~/tencent/. If ~/tencent/ does not exist, run setup.md. See memory-template.md for structure.

~/tencent/
|- memory.md           # Activation rules, product scope, and preferred outputs
|- accounts.md         # Known tenants, products, and ownership boundaries
|- regions.md          # Mainland, Hong Kong, Singapore, and global rollout notes
|- sources.md          # Official docs, trusted translators, and weak-source warnings
`- decisions.md        # Final recommendations, assumptions, and open risks

Quick Reference

Use the smallest relevant file for the current task.

TopicFileUse it for
Setup flow and saved defaultssetup.mdInitialize local state and activation rules
Memory schema and status valuesmemory-template.mdCreate baseline local files
Tencent surface-area mapecosystem-map.mdRoute requests to the right Tencent product family
Product and vendor choicedecision-framework.mdTurn vague Tencent requests into a decision path
Tencent Cloud planningcloud-platform.mdMap workloads, regions, and operations to Tencent Cloud
Mainland-versus-global constraintsmainland-vs-global.mdCheck region, residency, language, and go-live risks
Official-source handlingsource-validation.mdVerify docs, translations, and time-sensitive claims
Delivery and escalation checklistrollout-checklist.mdFinal review before recommending implementation or launch

Requirements

  • No credentials required for planning, research, or source verification
  • Account-specific execution may require user-approved access to Tencent Cloud, WeChat, or partner consoles
  • Never ask the user to paste passwords, QR-login secrets, SMS codes, cookies, or private access keys into chat

Data Storage

Save only durable context that improves later Tencent work:

  • product families the user actually uses
  • account or tenant names that the user explicitly shares
  • preferred regions, languages, and documentation sources
  • repeated compliance or rollout constraints
  • final decisions with open risks and follow-up items

Do not store secrets, billing exports, raw customer data, or copied console tokens.

Core Rules

1. Lock the Tencent Surface First

  • Start by classifying the request into one primary surface: Tencent corporate, Tencent Cloud, WeChat ecosystem, business collaboration, ads and growth, payments, or games and content.
  • If the user mixes several surfaces, split the answer into separate workstreams instead of pretending one Tencent path covers all of them.
  • Most bad recommendations happen because "Tencent" was left vague.

2. Make Region and Audience Explicit

  • Every Tencent recommendation must state whether it targets mainland China, Hong Kong, Singapore, or broader international users.
  • Also state the audience: consumers, enterprise teams, developers, advertisers, merchants, or operations.
  • Product availability, docs, onboarding, payments, and compliance differ sharply by region and audience.

3. Prefer Official Sources, Then Reconcile Translations

  • For product behavior, limits, pricing, regulatory statements, SDK support, or launch requirements, start from Tencent-owned documentation and product pages.
  • If English and Chinese sources diverge, record the mismatch and prefer the fresher or more specific original source.
  • Never present translated summaries as stronger evidence than the original product documentation.

4. Translate Business Goals Into Product Decisions

  • Convert vague asks like "We need Tencent for China" into a concrete job: messaging, identity, payments, compute, object storage, ads, distribution, or local operations.
  • Use the matrix in decision-framework.md before naming tools.
  • Do not dump product lists when the user really needs a decision.

5. Treat Tencent Cloud as Its Own Platform

  • Map workloads using Tencent Cloud services and operational realities, not AWS names pasted onto a different console.
  • Call out region support, account boundaries, observability gaps, and managed-service tradeoffs before recommending architecture.
  • If a workload depends on mainland data residency, ICP, or cross-border traffic, say so up front.

6. Separate Research Guidance From Execution Rights

  • Planning and verification are safe defaults.
  • Any step that would log in, change cloud resources, submit app assets, or touch payments must wait for explicit user approval and the correct account context.
  • Never assume the same operator owns Tencent Cloud, WeChat OA, WeCom, ads, and payments.

7. End With a Decision Record

  • Finish every non-trivial task with a concise decision record: chosen path, rejected paths, assumptions, hard blockers, and what still needs human confirmation.
  • Save only that durable decision state under ~/tencent/.
  • This keeps future Tencent work consistent instead of repeating the same ambiguity.

Common Traps

  • Treating Tencent, Tencent Cloud, WeChat, WeCom, and QQ as one interchangeable product family -> wrong routing and wrong owners
  • Assuming international docs are complete mirrors of mainland documentation -> missing limits, onboarding steps, or pricing details
  • Recommending Tencent Cloud by AWS analogy alone -> service names may look familiar while operations differ materially
  • Ignoring mainland-versus-global rollout constraints until the end -> late blockers around residency, ICP, language, or payments
  • Using unofficial English blog posts as primary evidence -> outdated or simplified guidance becomes product truth
  • Assuming one enterprise account can approve all Tencent surfaces -> ownership and permissions are usually fragmented

External Endpoints

EndpointData SentPurpose
https://www.tencent.comQuery text and page requestsCorporate and product-overview verification
https://cloud.tencent.comQuery text and page requestsMainland Tencent Cloud documentation and pricing
https://www.tencentcloud.comQuery text and page requestsInternational Tencent Cloud documentation and product availability
https://developers.weixin.qq.comQuery text and page requestsWeChat Mini Program and ecosystem developer documentation
https://work.weixin.qq.comQuery text and page requestsWeCom product and admin documentation

No other endpoints should be used unless the user explicitly approves additional sources or account-specific execution.

Security & Privacy

Data that may leave your machine:

  • search terms and page requests sent to Tencent-owned documentation or product sites
  • optional notes sent to user-approved comparison sources when official docs are incomplete

Data that stays local:

  • activation preferences and Tencent work history under ~/tencent/
  • account labels, region defaults, and decision records saved in local markdown files
  • trusted-source notes and rollout constraints

This skill does NOT:

  • store secrets in local markdown files
  • claim a product is available everywhere without checking region
  • log into Tencent surfaces without explicit user approval
  • rewrite its own skill definition files

Trust

This skill depends on Tencent-owned sites and any approved supporting sources used for verification. Only install and use it if you trust those services with your research queries and planning workflow.

Scope

This skill ONLY:

  • routes Tencent-related requests to the correct product family
  • compares Tencent options using official-source verification
  • plans Tencent Cloud, WeChat ecosystem, and region-sensitive rollouts
  • keeps lightweight local memory in ~/tencent/

This skill NEVER:

  • invent product capabilities or region availability
  • treat unofficial summaries as final evidence
  • request passwords, QR login tokens, cookies, or raw secrets
  • execute account-changing actions without explicit user approval

Related Skills

Install with clawhub install <slug> if user confirms:

  • cloud - General cloud architecture and platform tradeoff guidance
  • cloud-storage - Object storage design, migration, and operations patterns
  • payments - Payment flow design, merchant risk checks, and launch discipline
  • in-depth-research - Broader market and source-comparison workflows
  • market-research - Competitive and market-level framing beyond product routing

Feedback

  • If useful: clawhub star tencent
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.13%
按下载量换算3,586

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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